P. Chen

411 total citations
22 papers, 287 citations indexed

About

P. Chen is a scholar working on Plant Science, Soil Science and Molecular Biology. According to data from OpenAlex, P. Chen has authored 22 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 3 papers in Soil Science and 2 papers in Molecular Biology. Recurrent topics in P. Chen's work include Soybean genetics and cultivation (18 papers), Legume Nitrogen Fixing Symbiosis (16 papers) and Nematode management and characterization studies (7 papers). P. Chen is often cited by papers focused on Soybean genetics and cultivation (18 papers), Legume Nitrogen Fixing Symbiosis (16 papers) and Nematode management and characterization studies (7 papers). P. Chen collaborates with scholars based in United States, China and Switzerland. P. Chen's co-authors include Ailan Zeng, Cunxiang Wu, Kristofor R. Brye, Ainong Shi, Kenneth L. Korth, Andy Pereira, Moldir Orazaly, Dan Wang, Bikram S. Gill and T. S. Cox and has published in prestigious journals such as Plant and Soil, Crop Science and Plant Science.

In The Last Decade

P. Chen

20 papers receiving 280 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
P. Chen United States	10	247	34	32	30	29	22	287
Tapan Kumar India	9	330 1.3×	31 0.9×	22 0.7×	25 0.8×	31 1.1×	33	365
Rosario Jimenez Philippines	6	339 1.4×	55 1.6×	44 1.4×	12 0.4×	41 1.4×	7	392
Cuicui You China	9	265 1.1×	31 0.9×	35 1.1×	58 1.9×	27 0.9×	21	296
Asako Mori Japan	6	302 1.2×	31 0.9×	46 1.4×	31 1.0×	20 0.7×	7	317
Lovepreet Singh United States	11	230 0.9×	31 0.9×	41 1.3×	46 1.5×	25 0.9×	50	292
Benjamin Fallen United States	10	315 1.3×	23 0.7×	19 0.6×	37 1.2×	37 1.3×	48	370
Vikrant Tyagi India	11	249 1.0×	17 0.5×	14 0.4×	42 1.4×	48 1.7×	40	270
Gamze Bayram Türkiye	9	267 1.1×	17 0.5×	69 2.2×	152 5.1×	27 0.9×	20	346
José Francisco Ferraz de Toledo Brazil	9	247 1.0×	16 0.5×	38 1.2×	30 1.0×	48 1.7×	17	270

Countries citing papers authored by P. Chen

Since Specialization

Citations

This map shows the geographic impact of P. Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by P. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Chen more than expected).

Fields of papers citing papers by P. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by P. Chen. The network helps show where P. Chen may publish in the future.

Co-authorship network of co-authors of P. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of P. Chen. A scholar is included among the top collaborators of P. Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Chen. P. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Fang, Heng, Yuannong Li, Xiaobo Gu, et al.. (2024). Evapotranspiration, water use efficiency, and yield for film mulched maize under different nitrogen-fertilization rates and climate conditions. Agricultural Water Management. 301. 108935–108935. 6 indexed citations

Harrison, David J., et al.. (2023). Registration of soybean germplasm line R14‐1422 with high yield and moderate resistance to southern root knot nematode. Journal of Plant Registrations. 17(3). 561–566.

Chen, P., Tri D. Vuong, Henry T. Nguyen, et al.. (2022). Genetics of seed protein and oil inherited from “BARC-7” soybean in two F₂-derived mapping populations. Journal of Crop Improvement. 36(6). 875–891. 3 indexed citations

Chen, P., Grover Shannon, Andrew Scaboo, et al.. (2021). Registration of ‘S13‐3851C’ soybean as a high‐yielding conventional cultivar with high oil content and broad disease resistance and adaptation. Journal of Plant Registrations. 16(1). 21–28. 6 indexed citations

Chen, P., Grover Shannon, Andrew Scaboo, et al.. (2021). Registration of ‘S13‐2743C’ as a conventional soybean cultivar with high oil content, broad disease resistance, and high yield potential. Journal of Plant Registrations. 15(2). 306–312. 5 indexed citations

Chen, P., Grover Shannon, Andrew Scaboo, et al.. (2021). ‘S13‐1955C’: A high‐yielding conventional soybean with high oil content, multiple disease resistance, and broad adaptation. Journal of Plant Registrations. 15(2). 318–325. 5 indexed citations

Silva, Marcos Paulo da, et al.. (2021). Registration of ‘R13‐13997’ soybean cultivar. Journal of Plant Registrations. 15(2). 313–317.

Chen, P., Grover Shannon, Caio Canella Vieira, et al.. (2020). Registration of ‘S14‐15138GT’ soybean as a high‐yielding RR1/STS cultivar with broad disease resistance and adaptation. Journal of Plant Registrations. 14(3). 311–317. 1 indexed citations

Zeng, Ailan, P. Chen, Kenneth L. Korth, et al.. (2017). Genome-wide association study (GWAS) of salt tolerance in worldwide soybean germplasm lines. Molecular Breeding. 37(3). 80 indexed citations

10.

Chen, P., et al.. (2017). Breeding new soybean cultivars with high yield and disease resistance.. 42–44. 1 indexed citations

11.

Orazaly, Moldir, et al.. (2017). Confirmation of SSR Markers and QTL for Seed Calcium Content and Hardness of Soybean. Journal of Crop Improvement. 32(1). 71–89. 9 indexed citations

12.

Chen, P., Dan Wang, Grover Shannon, et al.. (2015). Identification and mapping of stable QTL for protein content in soybean seeds. Molecular Breeding. 35(3). 36 indexed citations

13.

Yoshikawa, Yoko, et al.. (2015). Evaluation of Natto Soybean for Agronomic and Seed Quality Traits. Journal of Crop Improvement. 29(1). 40–52. 2 indexed citations

14.

Zeng, Ailan, P. Chen, Ainong Shi, et al.. (2014). Identification of Quantitative Trait Loci for Sucrose Content in Soybean Seed. Crop Science. 54(2). 554–564. 25 indexed citations

15.

Dong, Dekun, Fengjie Yuan, Shenlong Zhu, et al.. (2012). Inheritance and fine mapping of a restorer-of-fertility (Rf) gene for the cytoplasmic male sterility in soybean. Plant Science. 188-189. 36–40. 19 indexed citations

16.

Shakiba, Ehsan, et al.. (2012). Two Novel Alleles at the Rsv 3 Locus for Resistance to Soybean Mosaic Virus in PI 399091 and PI 61947 Soybeans. Crop Science. 52(6). 2587–2594. 14 indexed citations

17.

Brye, Kristofor R., et al.. (2009). Soil Properties, Soybean Response, and Economic Return as Affected by Residue and Water Management Practices. Journal of Sustainable Agriculture. 33(7). 716–744. 14 indexed citations

18.

Chen, P., et al.. (2008). Effects of Feeding Extruded Soybean, Ground Canola Seed and Whole Cottonseed on Ruminal Fermentation, Performance and Milk Fatty Acid Profile in Early Lactation Dairy Cows. Asian-Australasian Journal of Animal Sciences. 21(2). 204–213. 18 indexed citations

19.

Brye, Kristofor R., et al.. (2007). Impact of Nitrogen Applications to Wheat on No-tillage Double-crop Soybean. Crop Management. 6(1). 1–12. 1 indexed citations

20.

Brye, Kristofor R., P. Chen, Larry C. Purcell, M. Mozaffari, & Robert J. Norman. (2004). First-year soybean growth and production as affected by soil properties following land leveling. Plant and Soil. 263(1). 323–334. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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